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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

541 concepts found, displaying 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
163 Northern Mariana Islands Quick edit Valid 2014-07-14 163
164 Pacific Islands Trust Territory Quick edit Valid 2014-07-14 164
165 Pakistan Quick edit Valid 2014-07-14 165
166 Panama Quick edit Valid 2014-07-14 166
167 Czech Republic Quick edit Valid 2014-07-14 167
168 Papua New Guinea Quick edit Valid 2014-07-14 168
169 Paraguay Quick edit Valid 2014-07-14 169
170 Peru Quick edit Valid 2014-07-14 170
171 Philippines Quick edit Valid 2014-07-14 171
172 Pitcairn Islands Quick edit Valid 2014-07-14 172
173 Poland Quick edit Valid 2014-07-14 173
174 Portugal Quick edit Valid 2014-07-14 174
175 Guinea-Bissau Quick edit Valid 2014-07-14 175
176 Timor-Leste Quick edit Valid 2014-07-14 176
177 Puerto Rico Quick edit Valid 2014-07-14 177
178 Eritrea Quick edit Valid 2014-07-14 178
179 Qatar Quick edit Valid 2014-07-14 179
180 Palau Quick edit Valid 2014-07-14 180
181 Zimbabwe Quick edit Valid 2014-07-14 181
182 Réunion Quick edit Valid 2014-07-14 182
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?